<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230323</CreaDate>
<CreaTime>16153800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>UA_UrbanAtlasChange_2012_2018</resTitle>
</idCitation>
<idAbs>The Urban Atlas is providing pan-European comparable land use and land cover data for Functional Urban Areas (FUA). The Urban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry with the support of the European Space Agency and the European Environment Agency.
Change layers are only available for all FUAs that have been covered in both 2012 and 2018.</idAbs>
<searchKeys>
<keyword>UA</keyword>
<keyword>Urban</keyword>
<keyword>Atlas</keyword>
<keyword>Change</keyword>
<keyword>Change</keyword>
<keyword>Layer</keyword>
<keyword>Copernicus</keyword>
<keyword>Land</keyword>
<keyword>Land</keyword>
<keyword>Cover</keyword>
<keyword>Land</keyword>
<keyword>Use</keyword>
<keyword>LCLU</keyword>
<keyword>2012</keyword>
<keyword>2018</keyword>
</searchKeys>
<idPurp>https://sdi.eea.europa.eu/catalogue/srv/api/records/949683b7-5795-4c72-845f-77d049010649</idPurp>
<idCredit>European Environment Agency (EEA)</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
